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  • Statistics II for dummies
  • 點閱:1
  • 作者: by Deborah Rumsey
  • 出版社:Wiley Publishing, Inc.
  • 出版年:c2009
  • 集叢名:--For dummies
  • ISBN:9780470466469
  • EISBN:9780470543863 EPUB
  • 格式:JPG
  • 附註:Includes index "Making everything easier!"--Cover.

Packed with fresh and practical examples appropriate for a range of degree-seeking students, Statistics II For Dummies helps any student succeed in their upper-level statistics courses. Coverage includes such topics as sorting and testing models, using regression to make predictions, performing variance analysis (ANOVA), drawing test conclusions with chi-squares, and making comparisons with the Rank Sum Test.

 

  • Introduction(第1頁)
    • About This Book(第1頁)
    • Conventions Used in This Book(第2頁)
    • What You’re Not to Read(第3頁)
    • Foolish Assumptions(第3頁)
    • How This Book Is Organized(第3頁)
    • Icons Used in This Book(第5頁)
    • Where to Go from Here(第6頁)
  • Part I: Tackling Data Analysis and Model-Building Basics(第7頁)
    • Chapter 1: Beyond Number Crunching: The Art and Science of Data Analysis(第9頁)
    • Chapter 2: Finding the Right Analysis for the Job(第21頁)
    • Chapter 3: Reviewing Confidence Intervals and Hypothesis Tests(第37頁)
  • Part II: Using Different Types of Regression to Make Predictions(第53頁)
    • Chapter 4: Getting in Line with Simple Linear Regression(第55頁)
    • Chapter 5: Multiple Regression with Two X Variables(第83頁)
    • Chapter 6: How Can I Miss You If You Won’t Leave? Regression Model Selection(第103頁)
    • Chapter 7: Getting Ahead of the Learning Curve with Nonlinear Regression(第115頁)
    • Chapter 8: Yes, No, Maybe So: Making Predictions by Using Logistic Regression(第137頁)
  • Part III: Analyzing Variance with ANOVA(第151頁)
    • Chapter 9: Testing Lots of Means? Come On Over to ANOVA!(第153頁)
    • Chapter 10: Sorting Out the Means with Multiple Comparisons(第173頁)
    • Chapter 11: Finding Your Way through Two-Way ANOVA(第191頁)
    • Chapter 12: Regression and ANOVA: Surprise Relatives!(第207頁)
  • Part IV: Building Strong Connections with Chi-Square Tests(第219頁)
    • Chapter 13: Forming Associations with Two-Way Tables(第221頁)
    • Chapter 14: Being Independent Enough for the Chi-Square Test(第241頁)
    • Chapter 15: Using Chi-Square Tests for Goodness-of-Fit (Your Data, Not Your Jeans).(第263頁)
  • Part V: Nonparametric Statistics: Rebels without a Distribution(第273頁)
    • Chapter 16: Going Nonparametric(第275頁)
    • Chapter 17: All Signs Point to the Sign Test and Signed Rank Test(第287頁)
    • Chapter 18: Pulling Rank with the Rank Sum Test(第303頁)
    • Chapter 19: Do the Kruskal-Wallis and Rank the Sums with the Wilcoxon(第313頁)
    • Chapter 20: Pointing Out Correlations with Spearman’s Rank(第325頁)
  • Part VI: The Part of Tens(第333頁)
    • Chapter 21: Ten Common Errors in Statistical Conclusions(第335頁)
    • Chapter 22: Ten Ways to Get Ahead by Knowing Statistics(第347頁)
    • Chapter 23: Ten Cool Jobs That Use Statistics(第357頁)
  • Appendix: Reference Tables(第367頁)
  • Index(第379頁)
紙本書 NT$ 640
單本電子書
NT$ 448

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